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Author

Peyman Baghershahi

Observed name: Baghershahi, Peyman
ORCID: 0000-0001-9792-1807
Observed ORCID: 0000-0001-9792-1807
OpenAlex ID: A5046492119
Self-attention presents low-dimensional knowledge graph embeddings for link prediction
2022 · Peyman Baghershahi, Reshad Hosseini, et al. · Knowledge-Based Systems · 77
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Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
2025 · Rochana Chaturvedi, Peyman Baghershahi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 5
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From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
2026 · Peyman Baghershahi, Gregoire Fournier, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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Efficient Relation-Aware Neighborhood Aggregation in Graph Neural Networks Via Tensor Decomposition
2024 · Peyman Baghershahi, Reshad Hosseini, et al. · SSRN Electronic Journal · 1
Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models
2026 · Association for Computational Linguistics 2026, Baghershahi, Peyman, et al. · Underline Science Inc.
From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
2026 · Association for Computational Linguistics 2026, Baghershahi, Peyman, et al. · Underline Science Inc.
GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs
2026 · Baghershahi, Peyman, Wang, Fangxin, et al. · arXiv (Cornell University)
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Filter-then-Weight: Online Data Selection and Reweighting for LLM Fine-Tuning
2026 · Wang, Fangxin, Baghershahi, Peyman, et al. · arXiv (Cornell University)
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Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models
2026 · Zangari, Angelo, Baghershahi, Peyman, et al. · arXiv (Cornell University)
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Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models
2026 · Angelo Zangari, Peyman Baghershahi, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Freeze, Prompt, and Adapt: A Framework for Source-free Unsupervised GNN Prompting
2025 · Baghershahi, Peyman, Medya, Sourav · arXiv (Cornell University)
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Design Requirements for Human-Centered Graph Neural Network Explanations
2024 · Habibi, Pantea, Baghershahi, Peyman, et al. · arXiv (Cornell University)
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Works count: 13
Citation count: 84
H-index: 2
I10-index: 1
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